129 machine-learning "The University of Edinburgh" positions at King's College London in United Kingdom
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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world. About the role A part-time research software Engineer to be by an enthusiastic Computer Scientist with existing background and experience in Artificial Intelligence, particularly, deep learning and
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research in the form of papers, posters or oral presentations Understanding of the concepts and application of research ethics Desirable criteria Expertise in Python programming for Machine and Deep Learning
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which is the largest department in the IoPPN and focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings
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buildings ranging in age from the 1780s to the current day. Many are listed and of great architectural significance. The campuses house a diversity of spaces, including teaching and learning environments
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. UpToDate knowledge of machine learning methods applied to clinical or omics data 2. Research experience in Neuroscience 3. Experience in grant writing 4. Experience in supervising staff and
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), 'externalising' disorders (disruptive behaviours, ADHD and addictions), and cognitive disorders (learning disabilities and the autistic spectrum). Collaborative interdisciplinary research and training
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to problem solve and work independently Desirable criteria Familiarity with the JASMIN data analysis facility Expertise in the hazard of extreme heat Competence in statistical analysis and/or machine learning
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including the ability to build successful relationships and collaborate in a cross-functional team and maintain a positive work environment Strong computer skills (proficient with MS WORD, Excel and web-based